{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分析Z500上的消融实验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append(\"../\")\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from src.utils.plot import subplot_daloop\n",
    "from src.utils.data_utils import NAME_TO_VAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "RESTULT_DIR = \"../../results/ablation_study/diffxb\"\n",
    "ERA5_DIR = \"../../data/era5\"\n",
    "VARIABLE = \"geopotential\"\n",
    "LEVEL = 500\n",
    "RESOLUTION = 5.625\n",
    "lead_times = [24, 48, 72 ,96, 120]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt = xr.open_mfdataset(f\"{ERA5_DIR}/{VARIABLE}_{LEVEL}_{RESOLUTION}deg/test/*.nc\", combine=\"by_coords\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制同化预报循环误差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse20, acc20, mae20 = [], [], []\n",
    "for lt in lead_times:\n",
    "    rmse20.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.2/rmse_4dvarcyclegan_wscale_obspartial0.2_xb{lt}_woretrain.nc\"))\n",
    "    acc20.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.2/acc_4dvarcyclegan_wscale_obspartial0.2_xb{lt}_woretrain.nc\"))\n",
    "    mae20.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.2/mae_4dvarcyclegan_wscale_obspartial0.2_xb{lt}_woretrain.nc\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse_20 = {\n",
    "    f\"Init time {lead_times[0]}\": rmse20[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": rmse20[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": rmse20[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": rmse20[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": rmse20[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "acc_20 = {\n",
    "    f\"Init time {lead_times[0]}\": acc20[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": acc20[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": acc20[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": acc20[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": acc20[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "mae_20 = {\n",
    "    f\"Init time {lead_times[0]}\": mae20[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": mae20[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": mae20[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": mae20[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": mae20[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse15, acc15, mae15 = [], [], []\n",
    "for lt in lead_times:\n",
    "    rmse15.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.15/rmse_4dvarcyclegan_wscale_obspartial0.15_xb{lt}_woretrain.nc\"))\n",
    "    acc15.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.15/acc_4dvarcyclegan_wscale_obspartial0.15_xb{lt}_woretrain.nc\"))\n",
    "    mae15.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.15/mae_4dvarcyclegan_wscale_obspartial0.15_xb{lt}_woretrain.nc\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse_15 = {\n",
    "    f\"Init time {lead_times[0]}\": rmse15[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": rmse15[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": rmse15[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": rmse15[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": rmse15[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "acc_15 = {\n",
    "    f\"Init time {lead_times[0]}\": acc15[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": acc15[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": acc15[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": acc15[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": acc15[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "mae_15 = {\n",
    "    f\"Init time {lead_times[0]}\": mae15[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": mae15[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": mae15[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": mae15[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": mae15[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse10, acc10, mae10 = [], [], []\n",
    "for lt in lead_times:\n",
    "    rmse10.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.1/rmse_4dvarcyclegan_wscale_obspartial0.1_xb{lt}_woretrain.nc\"))\n",
    "    acc10.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.1/acc_4dvarcyclegan_wscale_obspartial0.1_xb{lt}_woretrain.nc\"))\n",
    "    mae10.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.1/mae_4dvarcyclegan_wscale_obspartial0.1_xb{lt}_woretrain.nc\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse_10 = {\n",
    "    f\"Init time {lead_times[0]}\": rmse10[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": rmse10[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": rmse10[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": rmse10[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": rmse10[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "acc_10 = {\n",
    "    f\"Init time {lead_times[0]}\": acc10[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": acc10[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": acc10[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": acc10[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": acc10[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "mae_10 = {\n",
    "    f\"Init time {lead_times[0]}\": mae10[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": mae10[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": mae10[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": mae10[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": mae10[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse5, acc5, mae5 = [], [], []\n",
    "for lt in lead_times:\n",
    "    rmse5.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.05/rmse_4dvarcyclegan_wscale_obspartial0.05_xb{lt}_woretrain.nc\"))\n",
    "    acc5.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.05/acc_4dvarcyclegan_wscale_obspartial0.05_xb{lt}_woretrain.nc\"))\n",
    "    mae5.append(xr.open_mfdataset(f\"{RESTULT_DIR}/obs_partial_0.05/mae_4dvarcyclegan_wscale_obspartial0.05_xb{lt}_woretrain.nc\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse_5 = {\n",
    "    f\"Init time {lead_times[0]}\": rmse5[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": rmse5[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": rmse5[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": rmse5[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": rmse5[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "acc_5 = {\n",
    "    f\"Init time {lead_times[0]}\": acc5[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": acc5[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": acc5[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": acc5[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": acc5[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}\n",
    "\n",
    "mae_5 = {\n",
    "    f\"Init time {lead_times[0]}\": mae5[0][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[1]}\": mae5[1][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[2]}\": mae5[2][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[3]}\": mae5[3][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "    f\"Init time {lead_times[4]}\": mae5[4][NAME_TO_VAR[f\"{VARIABLE}_{LEVEL}\"]].values,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x900 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(3, 4, figsize=(14, 9))\n",
    "axes[0,0].plot(rmse_20[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[0,0].plot(rmse_20[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[0,0].plot(rmse_20[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[0,0].plot(rmse_20[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[0,0].plot(rmse_20[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[0,1].plot(rmse_15[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[0,1].plot(rmse_15[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[0,1].plot(rmse_15[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[0,1].plot(rmse_15[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[0,1].plot(rmse_15[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[0,2].plot(rmse_10[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[0,2].plot(rmse_10[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[0,2].plot(rmse_10[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[0,2].plot(rmse_10[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[0,2].plot(rmse_10[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[0,3].plot(rmse_5[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[0,3].plot(rmse_5[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[0,3].plot(rmse_5[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[0,3].plot(rmse_5[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[0,3].plot(rmse_5[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[1,0].plot(acc_20[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[1,0].plot(acc_20[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[1,0].plot(acc_20[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[1,0].plot(acc_20[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[1,0].plot(acc_20[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[1,1].plot(acc_15[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[1,1].plot(acc_15[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[1,1].plot(acc_15[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[1,1].plot(acc_15[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[1,1].plot(acc_15[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[1,2].plot(acc_10[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[1,2].plot(acc_10[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[1,2].plot(acc_10[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[1,2].plot(acc_10[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[1,2].plot(acc_10[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "axes[1,3].plot(acc_5[f\"Init time {lead_times[0]}\"], label=f\"Background {lead_times[0]} h\")\n",
    "axes[1,3].plot(acc_5[f\"Init time {lead_times[1]}\"], label=f\"Background {lead_times[1]} h\")\n",
    "axes[1,3].plot(acc_5[f\"Init time {lead_times[2]}\"], label=f\"Background {lead_times[2]} h\")\n",
    "axes[1,3].plot(acc_5[f\"Init time {lead_times[3]}\"], label=f\"Background {lead_times[3]} h\")\n",
    "axes[1,3].plot(acc_5[f\"Init time {lead_times[4]}\"], label=f\"Background {lead_times[4]} h\")\n",
    "\n",
    "axes[2,0].plot(mae_20[f\"Init time {lead_times[0]}\"], label=f\"Background {lead_times[0]} h\")\n",
    "axes[2,0].plot(mae_20[f\"Init time {lead_times[1]}\"], label=f\"Background {lead_times[1]} h\")\n",
    "axes[2,0].plot(mae_20[f\"Init time {lead_times[2]}\"], label=f\"Background {lead_times[2]} h\")\n",
    "axes[2,0].plot(mae_20[f\"Init time {lead_times[3]}\"], label=f\"Background {lead_times[3]} h\")\n",
    "axes[2,0].plot(mae_20[f\"Init time {lead_times[4]}\"], label=f\"Background {lead_times[4]} h\")\n",
    "\n",
    "axes[2,1].plot(mae_15[f\"Init time {lead_times[0]}\"], label=f\"Background {lead_times[0]} h\")\n",
    "axes[2,1].plot(mae_15[f\"Init time {lead_times[1]}\"], label=f\"Background {lead_times[1]} h\")\n",
    "axes[2,1].plot(mae_15[f\"Init time {lead_times[2]}\"], label=f\"Background {lead_times[2]} h\")\n",
    "axes[2,1].plot(mae_15[f\"Init time {lead_times[3]}\"], label=f\"Background {lead_times[3]} h\")\n",
    "axes[2,1].plot(mae_15[f\"Init time {lead_times[4]}\"], label=f\"Background {lead_times[4]} h\")\n",
    "\n",
    "axes[2,2].plot(mae_10[f\"Init time {lead_times[0]}\"], label=f\"Background {lead_times[0]} h\")\n",
    "axes[2,2].plot(mae_10[f\"Init time {lead_times[1]}\"], label=f\"Background {lead_times[1]} h\")\n",
    "axes[2,2].plot(mae_10[f\"Init time {lead_times[2]}\"], label=f\"Background {lead_times[2]} h\")\n",
    "axes[2,2].plot(mae_10[f\"Init time {lead_times[3]}\"], label=f\"Background {lead_times[3]} h\")\n",
    "axes[2,2].plot(mae_10[f\"Init time {lead_times[4]}\"], label=f\"Background {lead_times[4]} h\")\n",
    "\n",
    "axes[2,3].plot(mae_5[f\"Init time {lead_times[0]}\"], label=f\"Background ({lead_times[0]} h)\")\n",
    "axes[2,3].plot(mae_5[f\"Init time {lead_times[1]}\"], label=f\"Background ({lead_times[1]} h)\")\n",
    "axes[2,3].plot(mae_5[f\"Init time {lead_times[2]}\"], label=f\"Background ({lead_times[2]} h)\")\n",
    "axes[2,3].plot(mae_5[f\"Init time {lead_times[3]}\"], label=f\"Background ({lead_times[3]} h)\")\n",
    "axes[2,3].plot(mae_5[f\"Init time {lead_times[4]}\"], label=f\"Background ({lead_times[4]} h)\")\n",
    "\n",
    "for i in range(4):\n",
    "    axes[0,i].set_ylim(200, 600)\n",
    "    axes[1,i].set_ylim(0.8, 0.99)\n",
    "    axes[2,i].set_ylim(150, 400)\n",
    "    axes[0,i].set_title(f\"{NAME_TO_VAR[f'{VARIABLE}_{LEVEL}']}{LEVEL} {int(20-5*i)}% Observation\")\n",
    "    for j in range(3):\n",
    "        axes[j,i].set_xticks(np.arange(0, 121, 20))\n",
    "        axes[j,i].set_xticklabels([0, 10, 20, 30, 40, 50, 60])\n",
    "\n",
    "axes[0,0].annotate('', xy=(5,450), xytext=(5,580), arrowprops=dict(color='gray', arrowstyle='->'), rotation=90)\n",
    "axes[1,0].annotate('', xy=(5,0.88), xytext=(5,0.82), arrowprops=dict(color='gray', arrowstyle='->'), rotation=90)\n",
    "axes[2,0].annotate('', xy=(5,280), xytext=(5,380), arrowprops=dict(color='gray', arrowstyle='->'), rotation=90)\n",
    "\n",
    "axes[0,0].set_ylabel(f\"RMSE [m$^2$ s$^{-2}$]\")\n",
    "axes[1,0].set_ylabel(f\"ACC\")\n",
    "axes[2,0].set_ylabel(f\"MAE [m$^2$ s$^{-2}$]\")\n",
    "\n",
    "lines, labels = fig.axes[-1].get_legend_handles_labels()\n",
    "fig.legend(lines, labels, ncol=5, loc='lower center', bbox_to_anchor=(0.5, 0))\n",
    "fig.text(0.5, 0.05, f\"DA Cycle Number\", ha='center')\n",
    "plt.tight_layout()\n",
    "plt.subplots_adjust(bottom=0.1)\n",
    "plt.savefig(f\"ablation_diffxb_{NAME_TO_VAR[f'{VARIABLE}_{LEVEL}']}{LEVEL}.png\",dpi=300, bbox_inches=\"tight\")\n",
    "plt.savefig(f\"ablation_diffxb_{NAME_TO_VAR[f'{VARIABLE}_{LEVEL}']}{LEVEL}.pdf\",dpi=300, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE of 4dvarunet_woscale:  473.12152\n",
      "RMSE of 4dvarunet_wscale:  398.92014\n",
      "RMSE of 4dvargan_woscale:  426.5553\n",
      "RMSE of 4dvargan_wscale:  367.73306\n",
      "RMSE of 4dvarcyclegan_woscale:  378.08557\n",
      "RMSE of 4dvarcyclegan_wscale:  334.86423\n"
     ]
    }
   ],
   "source": [
    "for k in rmse.keys():\n",
    "    print(f\"RMSE of {k}: \", np.mean(rmse[k][4:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ACC of 4dvarunet_woscale:  0.8765086\n",
      "ACC of 4dvarunet_wscale:  0.9157049\n",
      "ACC of 4dvargan_woscale:  0.9026217\n",
      "ACC of 4dvargan_wscale:  0.92842865\n",
      "ACC of 4dvarcyclegan_woscale:  0.9235073\n",
      "ACC of 4dvarcyclegan_wscale:  0.94083965\n"
     ]
    }
   ],
   "source": [
    "for k in acc.keys():\n",
    "    print(f\"ACC of {k}: \", np.mean(acc[k][4:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE of 4dvarunet_woscale:  309.96613\n",
      "MAE of 4dvarunet_wscale:  270.1554\n",
      "MAE of 4dvargan_woscale:  284.8532\n",
      "MAE of 4dvargan_wscale:  249.51854\n",
      "MAE of 4dvarcyclegan_woscale:  269.4676\n",
      "MAE of 4dvarcyclegan_wscale:  235.10536\n"
     ]
    }
   ],
   "source": [
    "for k in mae.keys():\n",
    "    print(f\"MAE of {k}: \", np.mean(mae[k][4:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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